3. Data, Science & AI

Rates AI-generated responses against a rubric using multiple AI models, delivering feedback and a rewritten response for quality audits.

Rates AI-generated responses against a rubric using multiple AI models, providing actionable feedback and an improved response for quality audits and reviews.

Manages PostgreSQL database operations including schema management, query execution, and data manipulation.

Generates and edits images using Google Gemini API, supporting text-to-image, reference-based creation, and search-grounded real-time updates.

Enables semantic search with embeddings for efficient tool discovery in large libraries, reducing context usage by 90%+ via on-demand loading.

Performs high-recall codebase retrieval using semantic search and symbol indexing to find code, understand structure, and verify patterns.

Enables seamless management of machine learning models and datasets through Hugging Face Hub integration.

Accesses public datasets from Google Data Commons API for data analysis and research purposes.

Enables similarity search and RAG (Retrieval-Augmented Generation) using Pinecone vector database for AI applications.

Provides API integration for OpenAI's chat completions, embeddings, and assistant management features.

Analyzes VS Code Copilot chat logs to extract model usage, tool invocations, approval patterns, and timing metrics for retrospective insights.

Analyzes Reddit user sentiment via API for market research insights using natural language processing.

Manages Grafana dashboards for data visualization and configures alerting rules to monitor system metrics and performance.

Systematically assesses AI agent performance, rule compliance, and workflow quality through code-based, model-based, and human grading approaches.

Classifies code, documents, and data into categories using machine learning for structured organization and analysis.

Enables persistent context storage and cross-conversation learning for Claude AI through dual-file redundancy in CLAUDE.md format.

Enables creation, editing, and analysis of spreadsheets with formula support, formatting, and data visualization for data-driven tasks.

Generates Excel workbooks with formulas, charts, and formatting for financial reports, data analysis, and dashboards.

Utilities for building AI applications with LangChain, including chains, agents, and RAG implementations.

Provides persistent storage and retrieval of entities, relations, and observations to maintain user context and preferences across conversations.

Converts natural language queries into executable SQL for database interactions, enabling efficient data analysis and reporting.

Processes large text contexts using Recursive Language Model (RLM) patterns including chunking, filtering, and recursive sub-calls.

Creates and configures custom sub-agents within Claude Code using tailored prompts, tools, and model specifications for specialized AI interactions.

Manages Clorch configuration including Braintrust integration, API keys, and feature settings for AI development workflows.